Recent weakly supervised semantic segmentation paper

[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

Pytorch implementation of CVPR2020 paper "Correlating Edge, Pose with Parsing"

[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)

[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".

Joint Geometric and Object Segmentation for Indoor Scenes

This is a semantic SLAM system that is robust in dyanmic environments.

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Text Summarization on Spotify Podcast Transcripts for NLP class at @unibo

Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.

ResNet + FCN (tensorflow version) for Semantic Segmentation

CVPR 2018 WAD Video Segmentation Challenge with SegNet

Point Cloud Augmentation

基于车载图像序列的路况分析

Official code for the paper "Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation"

Leverage the power of Deep Learning to automatically detect, segment and classify surface defects 🤯🤯

Research internship in semantic segmentation for panoramic images.

Bachelor’s Thesis (TFG) implementation based on https://github.com/CSAILVision/semantic-segmentation-pytorch for semantic segmentation of multispectral images, specifically applied to the GID dataset.